ArticleJournal of clinical and translational science2023
"Research Jam": Engaging patients and other stakeholders through human-centered design to improve translational research.
Article in Journal of clinical and translational science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- Pain, uncertainty, and lack of clinical support drive emergency department utilization in cirrhosis: A qualitative study.Hepatology communications · 2026Article
- Using Human-Centred Design to Codesign Patient Engagement Tools With a Patient Advisory Council: Successes and Challenges.Health expectations : an international journal of public participation in health care and health policy · 2025Article
- Development of a prototype of a patient-reported outcomes measure for hypospadias care, the Patient Assessment Tool for Hypospadias (PATH).Journal of pediatric urology · 2024Article
- Experiences and lessons learned from a patient-engagement service established by a national research consortium in the U.S. Veterans Health Administration.Learning health systems · 2024Article
- Human-centered design of a smartphone-based self-test for HIV viral load monitoring.Journal of clinical and translational science · 2023Article
- Partnerships with primary care providers: Opportunities to prevent eating disorders and mitigate their progression in young people.Eating disordersArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Effective stakeholder engagement increases research relevance and utility. Though published principles of community-based participatory research and patient-centered outcomes research offer guidance, few resources offer effective techniques to engage stakeholders and translate their engagement into improvements in research process and outcomes. The Indiana Clinical and Translational Sciences Institute (Indiana CTSI) is home to Research Jam (RJ), an interdisciplinary team of researchers, project management professionals, and design experts, that employs human-centered design (HCD) to engage stakeholders in the research process. Establishing HCD services at the Indiana CTSI has allowed for accessible and innovative stakeholder-engaged research. RJ offers services for stakeholder-informed study design, measurement, implementation, and dissemination. RJ's services are in demand to address research barriers pertaining to a diverse array of health topics and stakeholder groups. As a result, the RJ team has grown significantly with both institutional and extramural support. Researchers involved in RJ projects report that working with RJ helped them learn how to better engage with stakeholders in research and changed the way they approach working with stakeholders. RJ can serve as a potential model for effectively engaging stakeholders through HCD to improve translational research.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.